Machine Learning Research Engineer, 3D

Job Requisition ID #25WD91831NOTE: This is NOT an open position. Please submit’’(At the begin)Position OverviewThe work we do at Autodesk touches nearly every person on the planet. By creating software for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world to solve problems that matter.You are excited to collaborate with world-class researchers and engineers to build datasets that power generative AI features in Autodesk products. You are a good communicator and comfortable working at the intersection of research & product.You will report to a research manager in the Autodesk AI Lab. We are a global team, located in London, San Francisco, Toronto, and remotely. For this role we support both in-person, hybrid, and remote work.Responsibilities· Own and lead engineering projects in the areas of data acquisition, ingestion, curation and benchmarking.· Organize and curate large, unstructured, disparate multi-modal (text, images, 3D models, code) data sources into a unified format suitable for machine learning.· Develop and deploy highly scalable data pipelines for machine learning.· Conduct and analyze experiments on data to provide insights to other researchers and leadership.· Work with our legal and trust teams to ensure compliant and ethical use of data.· Write robust, testable code that is well-documented and easy to understand.Minimum Qualifications· MSc or PhD in Computer Science, Engineering, or a related technical discipline.· Excellent software engineering skills, including ML implementation and distributed frameworks (e.g. Multiprocessing, Ray, Spark).· Experience working with large multimodal machine learning datasets.· Strong data modelling, architecture, and processing skills with varied data representations including 2D and 3D geometry.· Excellent communication skills to document code, produce visualizations, and present findings from experiments.· Proficiency with Linux, cloud, version control, testing and deployment pipelines.Preferred Qualifications· Demonstrates curiosity, creativity, and self-motivation, with a collaborative mindset and the flexibility to adapt to new challenges and evolving research directions.· Experience with collecting human data for training and evaluating ML models.· Strong publication record related to ML, datasets and benchmarks. · Experience with computational geometry, CAD data, and 3D formats such as meshes, boundary representations (BReps), or implicit representations.· Familiarity with the latest developments in ML models, datasets, training pipelines, and benchmarks, and the ability to translate new research into practical tools and workflows.· Motivated by the opportunity to apply machine learning to real-world challenges in design, manufacturing, construction, and media & entertainment.#LI-JK3Learn MoreAbout AutodeskWelcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.Salary transparencySalary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.Diversity & Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here:Please search for open jobs and apply internally (not on this external site).Machine Learning Research Engineer, 3D**‘’What's If you would like to be considered for future opportunities in the Digital & eCommerce team, please submit your CV here. Please keep in mind that this is not an open position – We will contact you if and when a position in the Digital & eCommerce team opens, that is a match with your skills and experience**
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